Samuel Nnanna

Architected and provisioned a production-grade GKE Autopilot cluster on Google Cloud using Terraform, establishing a robust and scalable environment for open science tooling. Implemented Workload Identity Federation (WIF) to allow Kubernetes service accounts to securely authenticate with Google Cloud services.

Spearheaded the adoption of GitOps using ArgoCD and Terraform, enabling declarative infrastructure and application delivery across multiple Kubernetes environments. Engineered a full-featured Jenkins CI/CD pipeline, automating the build, test, and deployment lifecycle.

Designed and implemented a new architecture that reduced cloud costs by 70%, consolidating infrastructure by deploying frontends on Vercel and backends on ECS Fargate. Developed and automated a GitLab-CI/CD pipeline to build and push Docker images to ECR, update task definitions, and deploy backend services with AWS CLI commands.

Migrated domains to AWS Route 53 for efficient management and integration. Developed Jenkins pipelines for Python applications in both staging and production environments, improving deployment speed and stability.

Designed and maintained secure, scalable, and highly available AWS environments, provisioning VPCs, EC2 instances, Security Groups, IAM roles, ECS clusters, and S3 storage using Terraform and Infrastructure as Code (IaC) best practices. Implemented CI/CD pipelines using GitHub Actions and Jenkins for automated application deployment, leveraging AWS CodeDeploy and ECS to streamline releases.

Completed a Bachelor’s Degree in Biochemistry. The curriculum provided a strong foundation in scientific principles and analytical methodologies.